Increasing the energy efficiency of a fishing vessel by estimating the motion parameters of a towed object

A. Ivanovskaya, Vladimir A. Zhukov, Aleksei N. Ivanovskii
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Abstract

The optimal mode of towing fishing gear has a direct impact on the energy efficiency of the fishing vessel. To build the combined traction characteristics of the vessel and trawl systems, data are needed on the nominal moments on the winch and engine drum, as well as the traction force in the warp. Estimation of the movement parameters of the towed object will make it possible to haul warps without overloading the trawl winch and the main engine. The paper proposes a block diagram of the algorithm for estimating the motion parameters of a trawl system. Processing of the current measurements of the warp tension in real time is carried out by digital signal processing methods based on the constructed optimal linear filter, which will be used to obtain the tension on the winch without taking into account the noise that occurs both as a result of the operation of the equipment and under the influence of the random nature of the warp tension process itself. and external hydrometeorological factors. Estimation and prediction of dynamic parameters is necessary for the development of an automated control system for a ship's winch, regardless of its purpose. Therefore, the results presented in this paper can be used in solving problems of automation of lifting equipment operating in non-stationary conditions.
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通过估算拖曳物体的运动参数提高渔船能效
拖曳渔具的最佳模式对渔船的能源效率有直接影响。要建立渔船和拖网系统的综合牵引特性,需要有关绞盘和发动机滚筒上的额定力矩以及经轴牵引力的数据。估算出被拖物体的运动参数后,就可以在不使拖网绞盘和主机超负荷的情况下牵引经纱。本文提出了拖网系统运动参数估计算法框图。通过数字信号处理方法实时处理当前的经纱张力测量值,该方法以构建的最优线性滤波器为基础,用于获取绞盘上的张力,而不考虑由于设备运行以及经纱张力过程本身的随机性和外部水文气象因素的影响而产生的噪声。无论船舶绞盘的用途如何,动态参数的估计和预测都是开发船舶绞盘自动控制系统的必要条件。因此,本文介绍的结果可用于解决在非稳态条件下运行的起重设备的自动化问题。
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